Mixtures-of-Experts Markov Chain Clustering and Dirichlet
Multinomial Clustering
Description
This package provides various Markov Chain Monte Carlo
(MCMC) sampler for model-based clustering of discrete-valued
time series obtained by observing a categorical variable with
several states (in a Bayesian approach). In order to analyze
group membership, we provide also an extension to the
approaches by formulating a probabilistic model for the latent
group indicators within the Bayesian classification rule using
a multinomial logit model.